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  2. WMPI1615 - CME/CMLE - Data Analytics in Pathology
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WMPI1615 - CME/CMLE - Data Analytics in Pathology
Course Description

This course focuses on identifying actionable data.  Participants will learn what metrics should be used in analyzing data to ensure the effectiveness of diagnostics. They will also learn and how to appropriately measure variations in the data and will explore the limitations of testing guidelines.  

Faculty/Authors
LMU Committee  

CME/CMLE Credit: 1.5 
Estimated Completion Time: 1.5 hour
Format: Online Educational Activity and Post Exam

Physician Competencies: Medical knowledge

Eligibility for CME/CMLE Credit: Max three attempts. You will have a maximum of three attempts to meet the following criteria:

  • Module ≥80% = CME/CMLE credit
  • Module <80% = No CME/CMLE credit, after a maximum of three attempts

Accreditation Statement: The American Society for Clinical Pathology (ASCP) is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education (CME) for physicians. This activity has been planned and implemented in accordance with the Essential Areas and Policies of the Accreditation Council for Continuing Medical Education (ACCME).

Credit Designation Statement: The American Society for Clinical Pathology (ASCP) designates this journal-based CME activity for a maximum of 1.5 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Instructions

To claim CME/CMLE credit for the exercise, do the following:

  1. Review the Technical Considerations.
  2. Click Go to Course to view an overview of the modules in this course.
  3. Click Access to begin the course.
  4. Review the Educational Activity 
  5. Complete and submit the Post Exam. You will have a maximum of three attempts to obtain the required score. You will be notified if you have met the credit requirements after each attempt.
  6. Submit the course Evaluation.
  7. Enter the maximum number of credits offered and click Claim CME to register credit.
Faculty Disclosure 

Technical Considerations

Release Date: 12/1/2015  
Review Date:
Expiration Date: 4/22/2025  

Course Objectives
Following completion of this activity, you will be able to:

  • Identify the best data and metrics for the clinical enterprise. 

  • Understand the importance of patient-benefit centered metrics. 

  • Identify the limitations of testing guidelines and how to appropriately measure variation. 

Summary
Availability: On-Demand
Credit Offered:
1.5 CME/CMLE Credits
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